LEADER 02760nam 2200589Ia 450 001 9910437610303321 005 20200520144314.0 010 $a1-4614-4705-4 024 7 $a10.1007/978-1-4614-4705-4 035 $a(CKB)2670000000232471 035 $a(EBL)994125 035 $a(OCoLC)805397222 035 $a(SSID)ssj0000741030 035 $a(PQKBManifestationID)11420588 035 $a(PQKBTitleCode)TC0000741030 035 $a(PQKBWorkID)10720204 035 $a(PQKB)10482036 035 $a(DE-He213)978-1-4614-4705-4 035 $a(MiAaPQ)EBC994125 035 $a(PPN)168300974 035 $a(EXLCZ)992670000000232471 100 $a20120831h20122013 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aGenome-wide prediction and analysis of protein-protein functional linkages in bacteria /$fVijaykumar Yogesh Muley, Vishal Acharya 205 $a1st ed. 2013. 210 $aNew York, NY $cSpringer$d2012, c2013 215 $a1 online resource (65 p.) 225 0$aSpringerBriefs in systems biology,$x2193-4746 300 $aDescription based upon print version of record. 311 $a1-4614-4704-6 320 $aIncludes bibliographical references. 327 $aIntroduction -- From genomes to protein functions -- Co-evolutionary signals within genome sequences reflect functional dependence of proteins -- Chromosomal proximity of genes as an indicator of functional linkage -- Analyses of complex genome-scale biological networks -- Applications of protein interaction networks. 330 $aUsing genome sequencing, one can predict possible interactions among proteins. There are very few titles that focus on protein-protein interaction predictions in bacteria. The authors will describe these methods and further highlight its use to predict various biological pathways and complexity of the cellular response to various environmental conditions. Topics include analysis of complex genome-scale protein-protein interaction networks, effects of reference genome selection on prediction accuracy, and genome sequence templates to predict protein function. 410 0$aSpringerBriefs in Systems Biology,$x2193-4746 ;$v2 606 $aFunctional genomics 606 $aProtein-protein interactions 615 0$aFunctional genomics. 615 0$aProtein-protein interactions. 676 $a572.86 700 $aMuley$b Vijaykumar Yogesh$01060479 701 $aAcharya$b Vishal$01761249 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910437610303321 996 $aGenome-wide prediction and analysis of protein-protein functional linkages in bacteria$94200576 997 $aUNINA LEADER 09772nam 22008655 450 001 9910144333503321 005 20200704064906.0 010 $a3-540-30547-5 024 7 $a10.1007/b104033 035 $a(CKB)1000000000212647 035 $a(DE-He213)978-3-540-30547-7 035 $a(SSID)ssj0000111923 035 $a(PQKBManifestationID)11142619 035 $a(PQKBTitleCode)TC0000111923 035 $a(PQKBWorkID)10086487 035 $a(PQKB)10279423 035 $a(MiAaPQ)EBC3087328 035 $a(PPN)155169173 035 $a(EXLCZ)991000000000212647 100 $a20121227d2004 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBiological and Medical Data Analysis $e5th International Symposium, ISBMDA 2004, Barcelona, Spain, November 18-19, 2004, Proceedings /$fedited by José María Barreiro, Fernando Martin-Sanchez, Víctor Maojo, Ferran Sanz 205 $a1st ed. 2004. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2004. 215 $a1 online resource (XII, 512 p.) 225 1 $aLecture Notes in Computer Science,$x0302-9743 ;$v3337 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-23964-2 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aData Analysis for Image Processing -- RF Inhomogeneity Correction Algorithm in Magnetic Resonance Imaging -- Fully 3D Wavelets MRI Compression -- A New Approach to Automatic Segmentation of Bone in Medical Magnetic Resonance Imaging -- An Accurate and Parallelizable Geometric Projector/Backprojector for 3D PET Image Reconstruction -- Data Visualization -- EEG Data and Data Analysis Visualization -- A Web Information System for Medical Image Management -- Reliable Space Leaping Using Distance Template -- Decision Support Systems -- A Rule-Based Knowledge System for Diagnosis of Mental Retardation -- Case-Based Diagnosis of Dysmorphic Syndromes -- Bayesian Prediction of Down Syndrome Based on Maternal Age and Four Serum Markers -- SOC: A Distributed Decision Support Architecture for Clinical Diagnosis -- Decision Support Server Architecture for Mobile Medical Applications -- Ordered Time-Independent CIG Learning -- SINCO: Intelligent System in Disease Prevention and Control. An Architectural Approach -- Could a Computer Based System for Evaluating Patients with Suspected Myocardial Infarction Improve Ambulance Allocation? -- On the Robustness of Feature Selection with Absent and Non-observed Features -- Design of a Neural Network Model as a Decision Making Aid in Renal Transplant -- Learning the Dose Adjustment for the Oral Anticoagulation Treatment -- Information Retrieval -- Thermal Medical Image Retrieval by Moment Invariants -- Knowledge Discovery and Data Mining -- Employing Maximum Mutual Information for Bayesian Classification -- Model Selection for Support Vector Classifiers via Genetic Algorithms. An Application to Medical Decision Support -- Selective Classifiers Can Be Too Restrictive: A Case-Study in Oesophageal Cancer -- A Performance Comparative Analysis Between Rule-Induction Algorithms and Clustering-Based Constructive Rule-Induction Algorithms. Application to Rheumatoid Arthritis -- Domain-Specific Particularities of Data Mining: Lessons Learned -- Statistical Methods and Tools for Biological and Medical Data Analysis -- A Structural Hierarchical Approach to Longitudinal Modeling of Effects of Air Pollution on Health Outcomes -- Replacing Indicator Variables by Fuzzy Membership Functions in Statistical Regression Models: Examples of Epidemiological Studies -- PCA Representation of ECG Signal as a Useful Tool for Detection of Premature Ventricular Beats in 3-Channel Holter Recording by Neural Network and Support Vector Machine Classifier -- Finding Relations in Medical Diagnoses and Procedures -- An Automatic Filtering Procedure for Processing Biomechanical Kinematic Signals -- Analysis of Cornea Transplant Tissue Rejection Delay in Mice Subjects -- Toward a Model of Clinical Trials -- Time Series Analysis -- Predicting Missing Parts in Time Series Using Uncertainty Theory -- Classification of Long-Term EEG Recordings -- Application of Quantitative Methods of Signal Processing to Automatic Classification of Long-Term EEG Records -- Semantic Reference Model in Medical Time Series -- Control of Artificial Hand via Recognition of EMG Signals -- Bioinformatics: Data Management and Analysis in Bioinformatics -- SEQPACKER: A Biologist-Friendly User Interface to Manipulate Nucleotide Sequences in Genomic Epidemiology -- Performing Ontology-Driven Gene Prediction Queries in a Multi-agent Environment -- Protein Folding in 2-Dimensional Lattices with Estimation of Distribution Algorithms -- Bioinformatics: Integration of Biological and Medical Data -- Quantitative Evaluation of Established Clustering Methods for Gene Expression Data -- DiseaseCard: A Web-Based Tool for the Collaborative Integration of Genetic and Medical Information -- Biomedical Informatics: From Past Experiences to the Infobiomed Network of Excellence -- Bioinformatics: Metabolic Data and Pathways -- Network Analysis of the Kinetics of Amino Acid Metabolism in a Liver Cell Bioreactor -- Model Selection and Adaptation for Biochemical Pathways -- NeoScreen: A Software Application for MS/MS Newborn Screening Analysis -- Bioinformatics: Microarray Data Analysis and Visualization -- Technological Platform to Aid the Exchange of Information and Applications Using Web Services -- Visualization of Biological Information with Circular Drawings -- Gene Selection Using Genetic Algorithms -- Knowledgeable Clustering of Microarray Data -- Correlation of Expression Between Different IMAGE Clones from the Same UniGene Cluster. 330 $aThisyear,the5thInternationalSymposiumonMedicalDataAnalysishasexperimented an apparently slight modi?cation. The word ?biological? has been added to the title of the conferences. The motivation for this shift goes beyond the wish to attract a diff- ent kind of professional. It is linked to recent trends to produce a shift within various biomedical areas towards genomics-based research and practice. For instance, medical informaticsandbioinformaticsarebeinglinkedina synergicareadenominatedbiom- ical informatics.Similarly,patient careis beingimproved,leadingto conceptsandareas such as molecular medicine, genomic medicine or personalized healthcare. The resultsfromdifferentgenomeprojects,the advancesin systemsbiologyand the integrative approaches to physiology would not be possible without new approaches in data and information processing. Within this scenario, novel methodologies and tools will beneededtolinkclinicalandgenomicinformation,forinstance,forgeneticclinical trials, integrated data mining of genetic clinical records and clinical databases, or gene expression studies, among others. Genomic medicine presents a series of challenges that need to be addressed by researchers and practitioners. In this sense, this ISBMDA conference aimed to become a place where researchers involved in biomedical research could meet and discuss. For this conference, the classical contents of former ISMDA conferences were updated to incorporate various issues from the biological ?elds. Similarly to the incorporation of these new topics of the conference, data analysts will face, in this world of genomic medicine and related areas, signi?cant challenges in research, education and practice. 410 0$aLecture Notes in Computer Science,$x0302-9743 ;$v3337 606 $aMedicine 606 $aDatabase management 606 $aMedical informatics 606 $aMathematical statistics 606 $aInformation storage and retrieval 606 $aArtificial intelligence 606 $aBiomedicine, general$3https://scigraph.springernature.com/ontologies/product-market-codes/B0000X 606 $aDatabase Management$3https://scigraph.springernature.com/ontologies/product-market-codes/I18024 606 $aHealth Informatics$3https://scigraph.springernature.com/ontologies/product-market-codes/H28009 606 $aProbability and Statistics in Computer Science$3https://scigraph.springernature.com/ontologies/product-market-codes/I17036 606 $aInformation Storage and Retrieval$3https://scigraph.springernature.com/ontologies/product-market-codes/I18032 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 615 0$aMedicine. 615 0$aDatabase management. 615 0$aMedical informatics. 615 0$aMathematical statistics. 615 0$aInformation storage and retrieval. 615 0$aArtificial intelligence. 615 14$aBiomedicine, general. 615 24$aDatabase Management. 615 24$aHealth Informatics. 615 24$aProbability and Statistics in Computer Science. 615 24$aInformation Storage and Retrieval. 615 24$aArtificial Intelligence. 676 $a610.72/7 686 $a42.11$2bcl 686 $a44.32$2bcl 702 $aBarreiro$b José María$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMartin-Sanchez$b Fernando$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMaojo$b Víctor$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSanz$b Ferran$4edt$4http://id.loc.gov/vocabulary/relators/edt 712 12$aISBMDA (International Symposium) 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910144333503321 996 $aBiological and Medical Data Analysis$9772172 997 $aUNINA LEADER 02357oam 2200565 c 450 001 9910563060403321 005 20240922213715.0 024 7 $a10.3726/b12610 035 $a(CKB)4340000000238900 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/28250 035 $a(PH02)9783954790593 035 $a(MiAaPQ)EBC31203461 035 $a(oapen)doab28250 035 $a(EXLCZ)994340000000238900 100 $a20240525d1999 uy 0 101 0 $ager 135 $aurnnunnnannuu 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aWortbildung und Kategorisierung am Beispiel der desubstantivischen Wortbildung des Russischen$fYannis Kakridis 205 $a1st, New ed. 210 $aFrankfurt a.M$cPH02$d1999 215 $a1 online resource (218 p.)$c, EPDF 225 0 $aSlavistische Beitra?ge$v376 300 $aPeter Lang GmbH, Internationaler Verlag der Wissenschaften 311 08$a3-95479-059-9 327 $aWo?rter fu?r Sachen - Vom Ableitungspaar zum Wortbildungsparadigma - Paradigmatische Wortbildungsanalyse: theoretische Fragen - Paradigmatische W ortbildungsanalyse: Anwendungen 330 $aDiese Untersuchung ist der Analyse und Kategorisierung abgeleiteter Wo?rter des Russischen gewidmet; ihr Anliegen kann in zwei Fragen zusammengefaßt werden: a) welchen Anteil hat die Wortbildungsbedeutung an der lexikalischen Bedeutung des abgeleiteten Wortes? b) welches sind die semantischen Bausteine des Wortbildungssystems einer Sprache (ihre Wortbildungskategorien)? 606 $alinguistics$2bicssc 610 $aBeispiel 610 $adesubstantivis 610 $adesubstantivischen 610 $aKakridis 610 $aKategorisierung 610 $aKonkrete Substantive 610 $aMetaphorische und metonymische Ableitungsbeziehungen 610 $aRussischen 610 $aWortbildung 610 $aWortbildung und Polysemie 610 $aWortbildungskategorien und Komponentenanalyse 610 $aWortbildungsparadigmen 615 7$alinguistics 700 $aKakridis$b Yannis$4aut$01311932 801 0$bPH02 801 1$bPH02 906 $aBOOK 912 $a9910563060403321 996 $aWortbildung und Kategorisierung am Beispiel der desubstantivischen Wortbildung des Russischen$93030575 997 $aUNINA